Brain tumor segmentation with Deep Neural Networks
理解 Brain tumor segmentation with Deep Neural Networks。 一、摘要 1. 基于DNNs提出了一种 fully automatic brain tumor segmentation 方法。 2. 提出的方法适用于MRI中的胶质瘤。 3. 提出的CNN方法探索局部特征的时候同时探索更多的全局上下文特征。 4. 网络用卷积实现了最后一层
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相关文章
- 1. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
- 2. One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
- 3. A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
- 4. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
- 5. 论文笔记：A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
- 6. ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 8. ImageNet Classification with Deep Convolutional Neural Networks
- 9. Learning Contextual and Attentive Information for Brain Tumor Segmentation
- 10. 3D MRI brain tumor segmentation using autoencoder regularization